The aim of this paper (D3.5) is to provide a synoptic overview of the production network models that we found in the case studies, which were conducted as part of WP2 (see also the deliverables D2.1-8). The aim is to look for some common patterns or a typology of production systems. The majority of this paper is taken up with reviewing and summarising the findings on production networks that were uncovered. Accordingly, the paper is divided into sub-sections based on the industry case studies covered in those groups of reports. The initial assumption that has pervaded the cultural and creative sector (CCS) is the notion that a singular system prevails, and there may not be significant value in delving deeper into its intricacies. The foundational principle of CICREONE, however, posits that we are poised to witness a spectrum of production systems, akin yet distinct from generic global production network (GPN) models. This anticipation hinges on the belief that through this examination, we can glean insights into the orchestration of power dynamics, their loci, and the mechanisms governing them. It is precisely for this reason that we broaden our analysis in a concluding section, encompassing a holistic view across all case studies, transcending specific industries, in search of emergent patterns. Beyond its academic importance, such analysis holds paramount significance for policy formulation within the CCS domain. As we contend, much of the CCS policy landscape is founded upon a potentially flawed causal model of organization and action (see D3.1-4). A refined model would, in logical progression, lead to more efficacious and streamlined policy-making processes. This theme is further explored in this paper, commencing with a concise overview of the methodology employed in generating the data underpinning the analysis presented herein.